Jian Liu, Bingguang Han, Yongliang Liang, Wenshan Zhang, Cong Wang
{"title":"中压配电网绝缘劣化单相接地故障识别的模糊推理模型","authors":"Jian Liu, Bingguang Han, Yongliang Liang, Wenshan Zhang, Cong Wang","doi":"10.1109/iccss55260.2022.9801895","DOIUrl":null,"url":null,"abstract":"Single-phase grounding faults seriously affect the power supply reliability of medium-voltage distribution networks. Insulation deterioration is one of the important causes of single-phase grounding faults. Based on the single-phase ground fault waveform data, eight features that can reflect the type of insulation deterioration are extracted from the time domain and frequency domain. The Receiver Operating Characteristic (ROC) is used to optimize the features, and the classification threshold of each feature is determined. A fuzzy inference system for identifying the causes of insulation deterioration in medium voltage distribution networks is established. The use of field-measured fault data verifies the necessity of feature selection and the validity of the established model.","PeriodicalId":254992,"journal":{"name":"2022 5th International Conference on Circuits, Systems and Simulation (ICCSS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Inference Model for Recognition of Single-Phase-to-Ground Fault Caused by Insulation Deterioration in Medium-Voltage Distribution Networks\",\"authors\":\"Jian Liu, Bingguang Han, Yongliang Liang, Wenshan Zhang, Cong Wang\",\"doi\":\"10.1109/iccss55260.2022.9801895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Single-phase grounding faults seriously affect the power supply reliability of medium-voltage distribution networks. Insulation deterioration is one of the important causes of single-phase grounding faults. Based on the single-phase ground fault waveform data, eight features that can reflect the type of insulation deterioration are extracted from the time domain and frequency domain. The Receiver Operating Characteristic (ROC) is used to optimize the features, and the classification threshold of each feature is determined. A fuzzy inference system for identifying the causes of insulation deterioration in medium voltage distribution networks is established. The use of field-measured fault data verifies the necessity of feature selection and the validity of the established model.\",\"PeriodicalId\":254992,\"journal\":{\"name\":\"2022 5th International Conference on Circuits, Systems and Simulation (ICCSS)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Circuits, Systems and Simulation (ICCSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccss55260.2022.9801895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Circuits, Systems and Simulation (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccss55260.2022.9801895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Inference Model for Recognition of Single-Phase-to-Ground Fault Caused by Insulation Deterioration in Medium-Voltage Distribution Networks
Single-phase grounding faults seriously affect the power supply reliability of medium-voltage distribution networks. Insulation deterioration is one of the important causes of single-phase grounding faults. Based on the single-phase ground fault waveform data, eight features that can reflect the type of insulation deterioration are extracted from the time domain and frequency domain. The Receiver Operating Characteristic (ROC) is used to optimize the features, and the classification threshold of each feature is determined. A fuzzy inference system for identifying the causes of insulation deterioration in medium voltage distribution networks is established. The use of field-measured fault data verifies the necessity of feature selection and the validity of the established model.